Shifts the NUMA-aware runner from a flat, round-robin model to a per-node architecture using dedicated `NodeActivation` channels. Replaces absolute deltas with relative scaling based on the previous growth step's worker count, decoupling growth from node count to fix slow ramp-up and enforce per-node fairness. Updates architecture documentation to reflect these changes and focus tuning questions on `INITIAL`/`GROWTH_DIVISOR` parameters for I/O-bound validation.
Replaces the monolithic CPU scaling threshold with separate CPU and I/O spawn thresholds. Introduces an `IoSample` struct with platform-specific byte reading and a relative throughput growth heuristic. Adds a 0.1s wall-clock guard to `CpuSample` to suppress artificial efficiency spikes, and updates `maybe_activate` to trigger worker scaling when either resource indicates headroom. Bumps `obikmer` to v1.1.33 and updates architecture documentation.
Replace NUMA-naive Rayon loops and ad-hoc adaptive pools with a unified `PartitionRunner` that manages a NUMA-aware worker pool. The implementation uses pinned Rayon thread pools per node and activates dormant threads based on real-time CPU efficiency metrics. This standardizes partition-level parallelism, optimizes memory locality, and eliminates cross-socket traffic. Includes architecture documentation and updates mkdocs navigation.
Eric Coissac